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NEXUS Quantitative

AI-powered Gold signals driven by 8 auto-rotating strategies

Fintech
SaaS
Artificial Intelligence
Visit WebsiteSee on Product HuntVercel

Hunted byCipherCipher

Unlike manual signal channels, NEXUS Core is a fully automated AI trading engine for Gold. It uses a Triple-Brain ML architecture (2x Random Forest + a self-learning Logistic Regression Veto Layer) to run 8 auto-rotating quantitative strategies based on live volatility. Key differentiators: • Self-learning Veto Layer blocks losing trades before entry. • 8 strategies rotate dynamically. • Real-time web dashboard showing live balance, equity, and performance.

Top comment

Hey Product Hunt! 👋 I'm the creator of NEXUS Core. Over the last few months, I got tired of seeing retail traders lose money using basic indicator-based trading bots (like simple MACD/RSI crossings) that blow up accounts the moment market conditions change. I wanted to build something that executes like an institutional desk: multi-strategy, risk-managed, and powered by machine learning. NEXUS Core runs 8 different strategy engines (from SMC Order Blocks to Mean Reversion) and uses a Triple-Brain ML filter. The most unique part is the "Veto Layer" — a self-learning Logistic Regression model that screens incoming signals and blocks them if the historical odds of winning are too low. It also comes with a live-syncing Supabase dashboard to watch trades in real-time. I’m launching this to give traders a robust execution platform that they can use to trade their own accounts or pass prop-firm challenges (using the built-in drawdown guards). Would love to hear your thoughts, feedback, and answer any questions you have! Let me know what you think.

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About NEXUS Quantitative on Product Hunt

AI-powered Gold signals driven by 8 auto-rotating strategies

NEXUS Quantitative was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #79 on the daily leaderboard. Unlike manual signal channels, NEXUS Core is a fully automated AI trading engine for Gold. It uses a Triple-Brain ML architecture (2x Random Forest + a self-learning Logistic Regression Veto Layer) to run 8 auto-rotating quantitative strategies based on live volatility. Key differentiators: • Self-learning Veto Layer blocks losing trades before entry. • 8 strategies rotate dynamically. • Real-time web dashboard showing live balance, equity, and performance.

NEXUS Quantitative was featured in Fintech (47.2k followers), SaaS (43k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 171.8k products, making this a competitive space to launch in.

Who hunted NEXUS Quantitative?

NEXUS Quantitative was hunted by Cipher. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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